2025
Guidance on minimum information requirements (MIR) from designing to reporting human biomonitoring (HBM)
Jeddi M, Galea K, Ashley-Martin J, Nassif J, Pollock T, Poddalgoda D, Kasiotis K, Machera K, Koch H, López M, Chung M, Kil J, Jones K, Covaci A, Bamai Y, Fernandez M, Kase R, Louro H, Silva M, Santonen T, Katsonouri A, Castaño A, Quirós-Alcalá L, Lin E, Pollitt K, Virgolino A, Scheepers P, Melnyk L, Mustieles V, Portilla A, Viegas S, von Goetz N, Sepai O, Bird E, Göen T, Fustinoni S, Ghosh M, Dirven H, Kwon J, Carignan C, Mizuno Y, Ito Y, Xia Y, Nakayama S, Makris K, Parsons P, Gonzales M, Bader M, Dusinska M, Menouni A, Duca R, Chbihi K, Jaafari S, Godderis L, van Nieuwenhuyse A, Qureshi A, Ali I, Trindade C, Teixeira J, Bartonova A, Tranfo G, Audouze K, Verpaele S, LaKind J, Mol H, Bessems J, Magagna B, Waras M, Connolly A, Nascarella M, Yang W, Huang P, Lee J, Heussen H, Goksel O, Yunesian M, Yeung L, Souza G, Vekic A, Haynes E, Hopf N. Guidance on minimum information requirements (MIR) from designing to reporting human biomonitoring (HBM). Environment International 2025, 109601. DOI: 10.1016/j.envint.2025.109601.Peer-Reviewed Original ResearchHuman biomonitoring dataHuman biomonitoringRisk of human exposureMinimum information requirementsBiomarkers of exposureChemical exposure assessmentHuman biomonitoring studiesSources of exposureEffective communication of resultsInformation requirementsProtect public healthHealth professionalsHuman exposureBiomonitoringCommunication of resultsExposure assessmentGeneral populationExposure profiles, determinants, and health risks of chemicals in personal care products among healthy older adults from the China BAPE study
Guo X, Qian J, Ren H, Ding E, Ma X, Zhang J, Qiu T, Lu Y, Sun P, Li C, Li C, Xu Y, Cao K, Lin X, Mao C, Tong S, Tang S, Shi X. Exposure profiles, determinants, and health risks of chemicals in personal care products among healthy older adults from the China BAPE study. Journal Of Hazardous Materials 2025, 488: 137365. PMID: 39869979, DOI: 10.1016/j.jhazmat.2025.137365.Peer-Reviewed Original ResearchConceptsPersonal care productsHealthy older adultsHealth risksOlder adultsExposure to ambient PM<sub>2.5</sub>Benzophenone-2Ambient PM<sub>2.5</sub>Care productsHealth risks associated with exposureRisks associated with exposureAssociated health risksRisk of chemicalsHealth risks of chemicalsIncreased physical activityAssessment of older adultsMinimal health risksPhysical well-beingPredominant chemicalsMedian concentrationsPhysical activityExposure assessmentExposure profilesRisk assessmentExposure levelsMethyl parabenOverview of historical occupational exposure to trichloroethylene in China
Nie J, Ge C, Rothman N, Hu W, Vermeulen R, Lan Q, Peters S. Overview of historical occupational exposure to trichloroethylene in China. Annals Of Work Exposures And Health 2025, 69: 251-260. PMID: 39851217, PMCID: PMC11911510, DOI: 10.1093/annweh/wxae103.Peer-Reviewed Original Research
2024
Exposure to per- and poly-fluoroalkyl substances and lung, head and neck, and thyroid cancer: A systematic review and meta-analysis
Sassano M, Seyyedsalehi M, Kappil E, Zhang S, Zheng T, Boffetta P. Exposure to per- and poly-fluoroalkyl substances and lung, head and neck, and thyroid cancer: A systematic review and meta-analysis. Environmental Research 2024, 266: 120606. PMID: 39672496, DOI: 10.1016/j.envres.2024.120606.Peer-Reviewed Original ResearchPooled relative riskRelative riskHead and neckEstimate pooled relative risksConfidence intervalsExposure to per-Evidence of publication biasNatural log-unit increaseThyroid cancerCase-control studyPolyfluoroalkyl substances exposuresAssociated with lungPublication biasSystematic reviewPositive associationMeasured serum levelsMeta-analysisSerum PFAS levelsTesticular cancerProspective studyAssociationSerum levelsPFAS exposureExposure assessmentLung cancerA hybrid approach for integrating micro-satellite images and sensors network-based ground measurements using deep learning for high-resolution prediction of fine particulate matter (PM2.5) over an indian city, lucknow
Jain V, Mukherjee A, Banerjee S, Madhwal S, Bergin M, Bhave P, Carlson D, Jiang Z, Zheng T, Rai P, Tripathi S. A hybrid approach for integrating micro-satellite images and sensors network-based ground measurements using deep learning for high-resolution prediction of fine particulate matter (PM2.5) over an indian city, lucknow. Atmospheric Environment 2024, 338: 120798. DOI: 10.1016/j.atmosenv.2024.120798.Peer-Reviewed Original ResearchFine particulate matterGround-based measurementsPM2.5 concentrationsParticulate matterPredictions of fine particulate matterPrediction mapsAmbient air quality monitoring networkImpact of fine particulate matterAir quality monitoring networkSources of PM2.5Estimate PM2.5 concentrationsPM2.5 exposure assessmentGround measurementsQuality monitoring networkDeterminants of PM2.5Satellite-based estimatesDaily PM2.5High-resolution predictionPM2.5Monitoring networkLowest root mean square errorHuman healthPost-monsoonExposure assessmentRoot mean square errorDelineating Urbanicity and Rurality: Impact on Environmental Exposure Assessment
Song Y, Deziel N, Bell M. Delineating Urbanicity and Rurality: Impact on Environmental Exposure Assessment. Environmental Science And Technology 2024, 58: 19178-19188. PMID: 39412270, PMCID: PMC11627196, DOI: 10.1021/acs.est.4c06942.Peer-Reviewed Original ResearchConceptsEnvironmental exposuresEnvironmental exposure assessmentExposure of particulate matterUrban/rural disparitiesDemographic compositionHealth StudyHealth researchPopulation-basedClassification systemExposure assessmentSpatial patternsHealth impactsRural areasHealthRuralParticulate matterLand surface temperatureWest VirginiaUnited StatesSurface temperatureUrbanizationResearch questionsAssessmentDisparitiesExposureThe impact of exposure assessment on associations between air pollution and cardiovascular mortality risks in the city of Rio de Janeiro, Brazil
Heo S, Schuch D, Junger W, Zhang Y, de Fatima Andrade M, Bell M. The impact of exposure assessment on associations between air pollution and cardiovascular mortality risks in the city of Rio de Janeiro, Brazil. Environmental Research 2024, 263: 120150. PMID: 39414104, DOI: 10.1016/j.envres.2024.120150.Peer-Reviewed Original ResearchAir pollutionCardiovascular mortality riskExposure assessmentMortality riskExposure methodHealth risk estimatesAir pollution risksAir quality modelsExposure levelsOdds ratioHealth impact assessmentAssociated with mortality riskPollution riskConfidence intervalsCardiovascular mortality dataComplex air quality modelRio de JaneiroCase-crossover studyEstimate mortality riskWRF-ChemCity of Rio de JaneiroMonitoring networkInterquartile rangeMultiple logistic regressionImpact assessmentConsiderations for occupational risk management during pregnancy: A summary of a continuing education course
Roberts L, Hoberman A, Verpaele S, Inayat-Hussain S, DeSesso J, Fukumura M. Considerations for occupational risk management during pregnancy: A summary of a continuing education course. Toxicology And Industrial Health 2024, 40: 605-621. PMID: 39189464, DOI: 10.1177/07482337241273833.Peer-Reviewed Original ResearchRisk managementPregnant workersOccupational risk managementHealth of pregnant workersRisk management decisionsShort educational coursesHealth professionalsOccupational exposure limit valuesPregnant employeesPhysiologic changes of pregnancyGlobal workforceRegulatory environmentContinuing education coursesChanges of pregnancyEducation coursesManagement decisionsInformation needsHealthWorkersManagementExposure assessmentPregnancyRiskWomenDecisionExpanded PAH analysis of household air pollution in a rural region of China with high lung cancer incidence
Zhang Y, Meliefste K, Hu W, Portengen L, Rothman N, Reiss B, Li J, Xu J, Ning B, Liu D, Cassee F, Wong J, Vermeulen R, Lan Q, Downward G. Expanded PAH analysis of household air pollution in a rural region of China with high lung cancer incidence. Environmental Pollution 2024, 361: 124717. PMID: 39147225, DOI: 10.1016/j.envpol.2024.124717.Peer-Reviewed Original ResearchMethyl-PAHsHousehold air pollutionAir pollutionExposure assessmentReduce household air pollutionHuman carcinogenCoal combustion productsHighest lung cancer ratesDomestic combustionHigh lung cancer incidenceControlled burningStove typeStove ventilationHealth risksSmokeless coalRegions of ChinaStove useSuspected human carcinogensCoal sourcesFuel typeDriving factorsFuel transitionRural regions of ChinaSmoky coalPAHsA systematic review of animal feeding operations including concentrated animal feeding operations (CAFOs) for exposure, health outcomes, and environmental justice
Son J, Heo S, Byun G, Foo D, Song Y, Lewis B, Stewart R, Choi H, Bell M. A systematic review of animal feeding operations including concentrated animal feeding operations (CAFOs) for exposure, health outcomes, and environmental justice. Environmental Research 2024, 259: 119550. PMID: 38964578, PMCID: PMC11365793, DOI: 10.1016/j.envres.2024.119550.Peer-Reviewed Original ResearchHealth outcomesVulnerable populationsAssociated health outcomesPairs of reviewersScreening of titlesExposure assessmentAssociated health burdenFull-text articlesSocioeconomic statusEnvironmental justiceHealth responseAnimal feeding operationsData extractionSystematic reviewHealth burdenSystematic searchHealthDisproportionate exposureCitation screeningFeeding operationsGeospatial Science for the Environmental Epidemiology of Cancer in the Exposome Era
VoPham T, White A, Jones R. Geospatial Science for the Environmental Epidemiology of Cancer in the Exposome Era. Cancer Epidemiology Biomarkers & Prevention 2024, 33: 451-460. PMID: 38566558, PMCID: PMC10996842, DOI: 10.1158/1055-9965.epi-23-1237.Peer-Reviewed Original ResearchConceptsEnvironmental epidemiologyExternal exposomeCancer epidemiology researchCancer screening policyEpidemiology of cancerEpidemiological studiesCancer epidemiology studiesClinical decision makingPatient addressesExposome dataEpidemiological researchScreening policyLife courseEnvironmental exposuresEnvironmental exposure assessmentOptimal practiceExposomeGeographic information systemExposure assessmentEnvironmental diseaseGeospatial scienceDecision makingGeospatial dataGeospatial methodologyCancerAccuracy of self-reported distance to nearest unconventional oil and gas well in Pennsylvania, Ohio, and West Virginia residents and implications for exposure assessment
Clark C, Casey J, Bell M, Plata D, Saiers J, Deziel N. Accuracy of self-reported distance to nearest unconventional oil and gas well in Pennsylvania, Ohio, and West Virginia residents and implications for exposure assessment. Journal Of Exposure Science & Environmental Epidemiology 2024, 34: 512-517. PMID: 38448680, DOI: 10.1038/s41370-023-00637-8.Peer-Reviewed Original ResearchSelf-reported distanceWest Virginia residentsAssociated with adverse health outcomesVirginia residentsAdverse health outcomesExposure to environmental hazardsCohen's weighted kappaYears of educationSelf-reported dataHealth outcomesWest VirginiansSelf-report measuresIndicators of awarenessWeighted KappaSelf-ReportDemographic characteristicsEducational attainmentAdverse health effectsSelf-reported metricsEnvironmental exposuresDistance categoriesHealth effectsResidentsExposure assessmentRisk
2023
A scoping review of multigenerational impacts of grandparental exposures on mental health in grandchildren
Xiao J, Jain A, Bellia G, Nyhan K, Liew Z. A scoping review of multigenerational impacts of grandparental exposures on mental health in grandchildren. Current Environmental Health Reports 2023, 10: 369-382. PMID: 38008881, DOI: 10.1007/s40572-023-00413-8.Peer-Reviewed Original ResearchMental healthGrandparental ageAdverse delivery outcomesPregnancy-related factorsUse of diethylstilbestrolNeurodevelopmental disordersCurrent epidemiological studiesAttention-deficit/hyperactivity disorderMental health outcomesMedication intakeDelivery outcomesEpidemiological studiesHealth StudyHealth outcomesPregnancyBiological markersLiterature searchRecent FindingsWeHyperactivity disorderOutcome phenotypesSocial environmental stressorsDisordersExposure assessmentOutcomesMultigenerational effectsResidential mobility in pregnancy and potential exposure misclassification of air pollution, temperature, and greenness
Heo S, Afanasyeva Y, Trasande L, Bell M, Ghassabian A. Residential mobility in pregnancy and potential exposure misclassification of air pollution, temperature, and greenness. Environmental Epidemiology 2023, 7: e273. PMID: 38912392, PMCID: PMC11189681, DOI: 10.1097/ee9.0000000000000273.Peer-Reviewed Original ResearchPotential exposure misclassificationHigher socioeconomic statusExposure misclassificationEpidemiological studiesSocioeconomic statusPercent of participantsProspective cohortThird trimesterPregnant womenPrenatal exposureMaternal characteristicsLow parityMother's residencePregnancyResidential addressesGood healthResidential historyExposure assessmentDifferential exposure misclassificationEnvironmental epidemiologyExposureBirthResidenceStatusParticipantsEVALUATION OF CONTENT VALIDITY OF A NEW EXPOSURE ASSESSMENT QUESTIONNAIRE IN PATIENTS WITH FIBROSING INTERSTITIAL LUNG DISEASES
SWAMINATHAN A, MCFATRICH M, MKUMBA L, WRIGHT L, REDLICH C, SNYDER L, REEVE B, OLSON A, GULATI M. EVALUATION OF CONTENT VALIDITY OF A NEW EXPOSURE ASSESSMENT QUESTIONNAIRE IN PATIENTS WITH FIBROSING INTERSTITIAL LUNG DISEASES. CHEST Journal 2023, 164: a5103-a5104. DOI: 10.1016/j.chest.2023.07.3304.Peer-Reviewed Original ResearchWearable Passive Samplers for Assessing Environmental Exposure to Organic Chemicals: Current Approaches and Future Directions
Okeme J, Koelmel J, Johnson E, Lin E, Gao D, Pollitt K. Wearable Passive Samplers for Assessing Environmental Exposure to Organic Chemicals: Current Approaches and Future Directions. Current Environmental Health Reports 2023, 10: 84-98. PMID: 36821032, DOI: 10.1007/s40572-023-00392-w.Peer-Reviewed Original ResearchConceptsPassive samplersOrganic chemicalsExposure assessmentHigh-throughput chemical analysisSemi-volatile organic chemicalsComplex mixturesChemical analysisEnvironmental health researchEnvironmental contaminantsPopulation scaleMonitoring approachActive air samplingQuantitative exposure assessmentEvaluation of exposureCompositional diversityAnalytical challengesHundreds of chemicalsPersonal exposurePopulation levelExposure estimatesSamplerActive samplersEnvironmental chemicalsContaminantsDynamic mixture
2022
Machine learning prediction of exposure to acrylamide based on modelling of association between dietary exposure and internal biomarkers
Wan X, Zhang Y, Gao S, Shen X, Jia W, Pan X, Zhuang P, Jiao J, Zhang Y. Machine learning prediction of exposure to acrylamide based on modelling of association between dietary exposure and internal biomarkers. Food And Chemical Toxicology 2022, 170: 113498. PMID: 36328216, DOI: 10.1016/j.fct.2022.113498.Peer-Reviewed Original ResearchConceptsDietary exposureElderly populationInternal exposureTotal energy intakeDietary acrylamide exposureChinese elderly populationAverage dietary intakeN-acetylExposure assessmentRegression modelsUrinary biomarkersDietary intakeUrinary contentAcrylamide exposureChinese cohortPhysical activityAccurate exposure assessmentEnergy intakeElderly participantsPotential health risksL-cysteineImportant covariatesLinear regression modelsHealth risksExposurePersonal air pollutant exposure monitoring in South African children in the VHEMBE birth cohort
DeLay K, Lin EZ, Koelmel JP, Bornman R, Obida M, Chevrier J, Godri Pollitt KJ. Personal air pollutant exposure monitoring in South African children in the VHEMBE birth cohort. Environment International 2022, 170: 107524. PMID: 36260950, PMCID: PMC9982749, DOI: 10.1016/j.envint.2022.107524.Peer-Reviewed Original ResearchConceptsBirth cohortMalaria controlEnvironment (MACE) birth cohortVenda Health ExaminationEnvironmental exposuresBurden of diseaseIndoor residual sprayingSouth African childrenHousehold air pollutionMiddle-income countriesHealth examinationNon-invasive methodAfrican childrenPersonal exposure assessmentResidual sprayingExposure levelsPersonal exposureExposure assessmentExposure monitoringRural regionsChildrenHigh exposureEnvironmental contaminantsCohortExposureEmerging and Legacy Per- and Polyfluoroalkyl Substances in an Elderly Population in Jinan, China: The Exposure Level, Short-Term Variation, and Intake Assessment
Jia X, Jin Q, Fang J, Shi Y, Hou M, Dong H, Liu Y, Deng F, Zhou Y, Pollitt K, Tang S, Shi X, Cai Y. Emerging and Legacy Per- and Polyfluoroalkyl Substances in an Elderly Population in Jinan, China: The Exposure Level, Short-Term Variation, and Intake Assessment. Environmental Science And Technology 2022, 56: 7905-7916. PMID: 35584234, DOI: 10.1021/acs.est.2c00381.Peer-Reviewed Original ResearchConceptsElderly adultsHealthy elderly adultsBw/dayHuman exposureAdverse health effectsMedian intakeIntake assessmentElderly populationMonth assessment periodDietary ingestionHealth effectsInternal exposureWhole bloodPerfluorooctanoic acidExposure levelsImportant exposure pathwayExposure assessmentAssessment periodConsecutive monthsRegression analysisPolyfluoroalkyl substancesPerfluorooctanesulfonic acidCl-PFESAExposureAdults
2021
Assessment of the Workplace
Doekes G, Raulf M, Heederik D, Redlich C, Tarlo S, Malo J. Assessment of the Workplace. 2021, 67-80. DOI: 10.1201/9781003000624-6.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsJob-exposure matrixExposure assessment strategiesExposure assessmentDispersion techniqueRespiratory tract exposureWork-related asthmaOccupational health studiesBiological methodsAllergic sensitizationRespiratory tractCharacterization of exposureHealth StudyIrritant agentsAirborne exposureChemicalsSkin contactDermal exposureHealth risk assessmentExposure levelsImportant routeAirborne agentsExposureFloor dustBiological agentsParticles
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